Biomedical Signal Processing for Healthcare Applications

This book explores the use of biomedical signal processing to analyze and diagnose medical conditions, particularly those related to the heart and brain. It discusses the acquisition, pre-processing, analysis, post-processing, and classification of biomedical signals and their application in diagnosing brain- and heart-related diseases. It emphasizes the importance of accurate interpretations of brain and heart signals, as incomplete interpretations can lead to major complications. The book is designed for students, research scholars, faculty, and practitioners in biomedical engineering and medical image analysis and diagnosis.

Format: Paperback / softback
Length: 316 pages
Publication date: 25 September 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the realm of biomedical signal processing, exploring its applications in analyzing and diagnosing various medical conditions, particularly those related to the heart and brain. By leveraging advanced techniques such as machine learning and optimization methods, the analysis of biomedical signals holds immense potential for revolutionizing the healthcare sector by improving patient outcomes through early and reliable detection.

The discussion of these modalities fosters a deeper understanding, analysis, and practical application of biomedical signal processing for specific diseases.

The book's key highlights encompass biomedical signals, the acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and the application of analysis and classification for the diagnosis of brain- and heart-related diseases.

Emphasis is placed on brain and heart signals due to incomplete interpretations made by physicians in various situations, which can lead to significant complications.

FEATURES:

Examines Modeling and Acquisition of Biomedical Signals of Different Disorders: The book delves into the process of modeling and acquiring biomedical signals from various disorders, providing insights into the techniques used to capture and interpret these signals.

Discusses CAD-Based Analysis of Diagnosis Useful for Healthcare: It explores the use of computer-aided diagnosis (CAD) in analyzing biomedical signals, offering valuable tools for healthcare professionals to make accurate diagnoses.

Includes All Important Modalities of Biomedical Signals: The book encompasses a wide range of biomedical signals, including electroencephalography (EEG), electromyography (EMG), magnetoencephalography (MEG), electrocardiography (ECG), and photoplethysmography (PCG). This comprehensive coverage ensures that readers have access to the most relevant modalities for analyzing and diagnosing medical conditions.

Includes Case Studies and Research Directions: The book includes case studies and research directions that highlight the practical applications of biomedical signal processing in healthcare. These case studies provide real-world examples of how the techniques discussed have been used to improve patient outcomes and advance medical research.

Designed for a Wide Range of Users: The book is intended for a diverse audience, including students, research scholars, faculty, and practitioners in the field of biomedical engineering, medical image analysis, and diagnosis. Its comprehensive nature and accessible language make it an invaluable resource for anyone seeking to expand their knowledge in this field.

In conclusion, Biomedical Signal Processing for Healthcare Applications is a comprehensive and authoritative guide that offers valuable insights into the use of biomedical signal processing in analyzing and diagnosing medical conditions. By leveraging advanced techniques and emphasizing the importance of brain and heart signals, this book empowers healthcare professionals to make informed decisions and improve patient outcomes. Whether you are a student, researcher, or practitioner, this book is a must-read for anyone interested in advancing the field of biomedical signal processing and its applications in healthcare.

Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367707545